QA/G-10 will provide guidance to organizations on developing a program-specific QA training program for all levels of management and staff. The document will provide a process to define the types of quality assurance and quality control training that may be needed by managers and staff to support the EPA Quality System.

QA/G-11 provides guidance for environmental technology projects.This development will be accomplished in two phases. This document provides relevant information on the design, construction, and operation of environmental technology and the quality assurance and quality controls practices needed to support them.

This guidance document describes key principles and best practices for Brownfields site assessment quality assurance and quality control based on program experience. It is intended as a reference for people involved in the Brownfields site assessment process. This document follows the EPA QA/R-5 and QA/G-5 format listed above.

This template and guide were developed and written by the Native American Fish and Wildlife Society, Cook Inlet Keeper, and the University of Alaska Anchorage Environmental and Natural Resources Institute. These documents have been reviewed and approved by EPA and ADEC.

The introduction to the document provides an overview for the target audience emphasizing the importance of systematic planning for geospatial data projects and its relationship to the Agency’s Quality System. The second chapter delineates the EPA policies on QA Project Plans. The third chapter discusses how QA Project Plan elements can be applied to geospatial data projects. The fourth chapter describes approaches to QA Project Plan elements for a geospatial module portion of a complex multi-organization project in risk assessment modeling as well as less complicated projects for a routine global positioning survey and creating a cartographic product from a spreadsheet to illustrate application of the graded approach discussed in Chapter 1.

QA/G-5i will provide guidance on data quality indicators (DQIs), including the PARRC parameters (i.e., precision, accuracy, reproducibility, representativeness, and comparability) and how they fit into the implementation of the DQO process. The guidance discusses the role of DQIs in sampling and analytical measurements.

Peer review of this document is complete. A final version has been drafted but has not been released as yet. Target date: Unknown.